Kneron will showcase its full-stack Edge AI solutions at CES 2026 in Las Vegas starting January 6. The global leader in Edge AI chips and systems aims to redefine real-world AI deployment with innovations spanning smart homes, autonomous driving, industrial IoT, and enterprise computing.
Under the theme “The Future Lives at the Edge,” Kneron will demonstrate how AI is shifting from cloud-based models to device-native execution. This transition focuses on localized processing, ultra-low power consumption, enhanced privacy, and industrial-grade reliability. Visitors at North Hall, Booth #9145, will experience an ecosystem designed to be trusted, usable, and controllable for the next era of intelligence.
Kneron’s smart home innovations will take center stage with NUWA, a modular home robot powered by advanced edge AI. NUWA offers facial recognition, voice control, fall detection, and vital sign monitoring. It goes beyond automation by acting as an emotionally intelligent companion and health guardian for safety, healthcare, education, and entertainment. Alongside NUWA, Kneron will present its AI IP Camera featuring the KL730 chip. This device processes over ten AI functions locally, including face tracking and acoustic event recognition. By eliminating cloud dependency, it reduces bandwidth costs by 70% and delivers sub-200ms response times.
In the automotive sector, Kneron will highlight its Driver Monitoring System (DMS) built on the KL730 SoC. The system detects drowsiness, phone use, and distracted posture with 99.6% accuracy within a range of 40cm to 1.2m. It performs reliably under harsh conditions such as backlighting, heavy rain, and glare. Additionally, the AI-T-BOX platform will showcase multi-sensor fusion technology, combining visible light, thermal imaging, radar, and LiDAR. This enables electronic mirrors and advanced pedestrian or vehicle detection for passenger cars, motorcycles, and autonomous micro-mobility systems.
For smart city applications, Kneron will introduce its stitched AI camera featuring dual 4MP sensors. This technology delivers real-time panoramic images without distortion, eliminating common stitching artifacts. Embedded AI models can identify multi-national license plates, including military and foreign plates, as well as vehicle types and personnel identities. These capabilities make the solution ideal for traffic enforcement, community security, and emergency response operations where precision and reliability are critical.
Kneron is also stepping into the era of edge-based Generative AI with its private infrastructure solutions. Furthermore, the KNEO-Pi board supports Python and C++ with open-source templates for education, UAV recognition, and audio processing. Additionally, the company will unveil three platforms: KNEO 330 box, KNEO 350 high-performance server, and KNEO Rack AI cluster. Moreover, the KNEO Rack disrupts traditional GPU servers like NVIDIA H100, cutting power use 60% while maintaining comparable performance. Therefore, this efficiency enables secure, scalable solutions for finance, healthcare, and energy, where compliance and data sovereignty are critical.
Kneron’s presence at CES 2026 promises to redefine perceptions of Edge AI possibilities. The company’s innovations demonstrate how AI can be practical, private, and efficient across diverse sectors. Attendees can explore these breakthroughs at Booth #9145 in the North Hall starting January 6.
